SVM optimization problem: Primal formulation
{"Image DocumentName": "SVM optimization problem: Primal formulation", "Image ImageDescription": "Minimize subject to for i = 1,\u2026,N. Objective function. Constraints. This is called primal formulation of linear SVMs . It is a convex quadratic programming (QP) optimization problem with n variables (wi, i = 1,\u2026,n), where n is the number of features in the dataset.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}